Extract Booking.com guest reviews at scale — 24 structured fields per review (positive/negative text, score, traveler type, room, reviewer profile. MCP/API-ready.

Open on Apify

Active users / 30d

Total users

Runs / 30d

Total runs

245

Rating

—

No reviews

Bookmarks

Usage history

Observed catalog snapshots

30 observed days

Latest captured Active users / 30d

+1 since 3 Sept

30 of 30 UTC days captured

Options

Axis labelsData labels

Latest captured Runs / 30d

-4 since 3 Sept

30 of 30 UTC days captured

Options

Axis labelsData labels

Users / 7d

Discoverability

Store classification

Pricing configuration

Pay per event

Current model

2 charge events configured

result

apify-default-dataset-item

Single result in the default dataset.

$0.00001

Review scraped

Booking.com Reviews Scraper — Actor details · ActorConsole

Users / 30d

Users / 90d

Catalog record

First published: 23 Apr 2026
Actor created: 12 Apr 2026
Actor modified: 9 Sept 2026
First observed in Store: 8 Aug 2026
Details updated: 2 Oct 2026
Last seen in Store: 1 Oct 2026

Metrics reflect the latest available Store data and may lag behind the live Store.

Primary

review-scraped

Charged for each Booking.com review successfully extracted to the dataset (24 fields: score, liked/disliked text, traveler type, room, reviewer profile, owner response). No charge for failed pages or empty hotels.

$0.002

Loading public Actor documentation

Reading the current public Store definition and reviews.

Related Actors

Keyword Search Volume Finder — Ahrefs Alternative

370 active users · 2.9K runs / 30d

TikTok Profile Scraper — Followers, Bio & Score

261 active users · 561 runs / 30d

AliExpress Scraper — Products, Reviews & Sellers

186 active users · 2.3K runs / 30d

Google Trends Scraper — Interest, Regions & Queries

171 active users · 1.5K runs / 30d